Ultra-supercritical(USC) coal-fired unit is more and more popular in these years for its advantages.But the control of USC unit is a difficult issue for its characteristic of nonlinearity, large dead time and coupling...Ultra-supercritical(USC) coal-fired unit is more and more popular in these years for its advantages.But the control of USC unit is a difficult issue for its characteristic of nonlinearity, large dead time and coupling among inputs and outputs. In this paper, model predictive control(MPC) method based on multi-model and double layered optimization is introduced for coordinated control of USC unit running in sliding pressure mode and fixed pressure mode. Three inputs(i.e. valve opening, coal flow and feedwater flow) are employed to control three outputs(i.e. output power, main steam temperature and main steam pressure). The step responses for the dynamic matrix control(DMC) are constructed using the three inputs by the three outputs under both pressure control mode. Piecewise models are built at selected operation points. In simulation, the output power follows load demand quickly and main steam temperature can be controlled around the setpoint closely in load tracking control. The simulation results show the effectiveness of the proposed methods.展开更多
针对电站甩负荷时,主蒸汽压力易产生超压,且传统PID控制器无法快速有效地控制主蒸汽压力的问题,设计了燃烧系统和主机回汽协调控制策略以及小脑神经网络(Cerebellar Model Articulation Controller,CMAC)与PID并行的控制器,并在Simulin...针对电站甩负荷时,主蒸汽压力易产生超压,且传统PID控制器无法快速有效地控制主蒸汽压力的问题,设计了燃烧系统和主机回汽协调控制策略以及小脑神经网络(Cerebellar Model Articulation Controller,CMAC)与PID并行的控制器,并在Simulink平台上进行了电站甩30%和100%负荷时系统动态特性仿真。结果表明:所设计的控制策略和控制器能够使主蒸汽压力控制系统较快地对电站的大负荷扰动作出响应,取得较好的控制效果,保障动力系统的稳定。展开更多
基金the National Nature Science Foundation of China(No.60974119)the Subject Construction of Shanghai University of Engineering Science(No.2018xk-B-09)the Young Teacher Training Scheme of Shanghai Universities(No.ZZGCD15007)
文摘Ultra-supercritical(USC) coal-fired unit is more and more popular in these years for its advantages.But the control of USC unit is a difficult issue for its characteristic of nonlinearity, large dead time and coupling among inputs and outputs. In this paper, model predictive control(MPC) method based on multi-model and double layered optimization is introduced for coordinated control of USC unit running in sliding pressure mode and fixed pressure mode. Three inputs(i.e. valve opening, coal flow and feedwater flow) are employed to control three outputs(i.e. output power, main steam temperature and main steam pressure). The step responses for the dynamic matrix control(DMC) are constructed using the three inputs by the three outputs under both pressure control mode. Piecewise models are built at selected operation points. In simulation, the output power follows load demand quickly and main steam temperature can be controlled around the setpoint closely in load tracking control. The simulation results show the effectiveness of the proposed methods.
文摘针对电站甩负荷时,主蒸汽压力易产生超压,且传统PID控制器无法快速有效地控制主蒸汽压力的问题,设计了燃烧系统和主机回汽协调控制策略以及小脑神经网络(Cerebellar Model Articulation Controller,CMAC)与PID并行的控制器,并在Simulink平台上进行了电站甩30%和100%负荷时系统动态特性仿真。结果表明:所设计的控制策略和控制器能够使主蒸汽压力控制系统较快地对电站的大负荷扰动作出响应,取得较好的控制效果,保障动力系统的稳定。
